Models of neural timing

Advances in Psychology

Volumn 115, Issue C, 1996, Pages 69-94

  Miall, Christopher ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77956759862     PISSN: 01664115     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0166-4115(96)80053-7     Document Type: Article

References (59)

1. Abbott L.F., and Blum K.I. Functional significance of long-term potentiation for sequence learning and prediction. Preprint (1995)
2. Amari S. Mathematical theory of neural networks (1978), Sangyo-tosyo, Tokyo
3. Amit D.J., Evans M.R., and Abeles M. Attractor neural networks with biological probe records. Network 1 (1990) 381-405
4. Attwell D., and Tessier-Lavigne M. Designing synaptic connections in the retina. In: Durbin R.M., Miall R.C., and Mitchison G.J. (Eds). The computing neuron (1989), Addison-Wesley, Wokingham, UK 337-354
5. Bailek W., and Rieke F. Reliability and information transmission in spiking neurons. Trends Neurosci 15 (1992) 428-434
6. Buhmann J., and Schulten K. Associative recognition and storage in model networks of physiological neurons. Biol. Cybern. 54 (1986) 319-335
7. Carr C.E., and Konishi M. Axonal delay lines for time measurement in the owl's brainstem. Proc Nat AcadScii USA 85 (1988) 8311-8316
8. Church R.M., and Broadbent H.A. A connectionist model of timing. In: Commons M.L., Grossberg S., and Staddon J. (Eds). Quantitative models of behaviour: Neural networks and conditioning (1990), Lawrence Erlbaum Associates, Hillsdale, NJ 225-240
9. Church R.M., and Broadbent H.A. Alternative representations of time, number and rate. Cognition 37 (1990) 55-81
10. Church R.M., and Gibbon J. Temporal generalisation. J Exp Psychol: Animal Behav. Proc. 8 (1982) 165-186
11. Dahaene D., Changeux J.P., and Nadal J.P. Neural networks that learn temporal sequences by selection. Proc. Nat. Acad. Sci. USA. 84 (1987) 2727-2731
12. de Vries B., and Principe J.C. The gamma model - a new neural model for temporal processing. Neural Networks 5 (1992) 565-576
13. Dong D.W., and Hopfield J.J. Dynamic properties of neural networks with adapting synapses. Network 3 (1992) 267-283
14. Engel A.K., Koenig P., Kreiter A.K., Schillen T.B., and Singer W. Temporal coding in the visual cortex: New vistas on integration in the nervous system Trends. Neurosci 15 (1992) 218-226
15. Gallistel C.R. The organisation of learning (1990), M.I.T. Press, Cambridge, MA
16. In: Gibbon J., and Allan L.G. (Eds). Time and Time Perception. Ann. N.Y. Acad. Sci. vol. 423 (1984)
17. Gray C.M., Konig P., Engel A.K., and Singer W. Oscillatory responses in cat visual cortex exhibit inter- columnar synchronization which reflects global stimulus properties. Nature 338 (1989) 334-337
18. Grossberg S., and Schmajuk N.A. Neural dynamics of adaptive timing and temporal discrimination during associative learning. Neural. Networks 2 (1989) 79-102
19. In: Harris-Warwick R.M., Marder E., Selverston A.I., and Moulins M. (Eds). Dynamic biological networks: The stomatogastric nervous system (1992), M.I.T. Press, Cambridge, MA
20. Heskes T.M., and Gielen S. Retrieval of pattern sequences at variable speeds in a neural network with delays. Neural Networks 5 (1992) 145-152
21. Holden A.V. Models of stochastic activity of neurons (1976), Springer, Berlin
22. Hopfield J.J. Neurons with graded responses have collective computational properties like those of two-state neurons. Proc. Nat. Acad. Sci. USA 81 (1984) 3088-3092
23. Horn D., and Usher M. Neural networks with dynamical thresholds. Physical. Rev. A 40 (1989) 1036-1044
24. Jeffress L.A. A place theory of sound localization. J. Comp. Physiol. Psychol. 41 (1948) 35-39
25. Jordan M.I. Attractor dynamics and parallelism in a connectionist sequential machine. Proc 8th Ann Conf Cogn Sci (1986), Lawrence Erlbaum Associates, Hillsdale, NJ 531-546
26. Judd K.T., and Aihara K. Pulse propagation networks: A neural network model that used temporal coding by action potentials. Neural Networks 6 (1993) 203-215
27. Killeen P.R., and Fetterman J.G. A behavioural theory of timing. Psychol. Rev. 95 (1988) 274-295
28. Killeen P.R. Counting the minutes. In: Macar F., Pouthas V., and Friedman W.J. (Eds). Time, action and cognition: Towards bridging the gap. NATO ASI Series D Vol. 66 (1992), Kluwer, Dordrecht 203-214
29. Kleinfeld D., and Sompolinsky H. Associative neural network model for the generation of temporal patterns. Biophysical J 54 (1988) 1039-1051
30. In: Koch C., and Segev I. (Eds). Methods in neuronal modelling: From synapses to networks (1989), M.I.T. Press, Cambridge, MA
31. Kristofferson A.B. A quantal step function in duration discrimination. Percept. Psychophys. 27 (1980) 300-306
32. Lang K., Waibel A.H., and Hinton G.E. A time-delay neural network architecture for isolated word recognition. Neural Networks 3 (1990) 23-44
33. Laughlin S. The reliability of single neurons and circuit design: A case study. In: Durbin R.M., Miall R.C., and Mitchison G.J. (Eds). The computing neuron (1989), Addison-Welsey, Wokingham, UK 322-336
34. Licklider J.C.R. A duplex theory of pitch perception. Experientia 7 (1951) 128-134
35. Llinas R.R. The intrinsic electrophysiological properties of mammalian neurons: Insights into central nervous system function. Science 242 (1988) 1654-1664
36. Longuet-Higgins H.C. Holographic model of temporal recall. Nature 217 (1968) 104
37. In: Macar F., Pouthas V., and Friedman W.J. (Eds). Time, action and cognition: Towards bridging the gap. NATO ASI Series D Vol. 66 (1992), Kluwer Academic, Dordrecht
38. Miall R.C. Oscillators, predictions and time. In: Macar F., Pouthas V., and Friedman W.J. (Eds). Time, action and cognition: Towards bridging the gap. NATO ASI Series D Vol. 66 (1992), Kluwer Academic, Dordrecht 215-227
39. Miall R.C. The storage of time intervals using oscillating neurons. Neural Comp 1 (1989) 359-371
40. Miall R.C. The diversity of neuronal properties. In: Durbin R.M., Miall R.C., and Mitchison G.J. (Eds). The computing neuron (1989), Addison-Welsey, Wokingham, UK 11-34
41. Miall R.C. Neural networks and the representation of time. Psychol. Belg. 33 (1993) 255-269
42. Milton J.G., Chu P.H., and Cowan J.D. Spiral waves in integrate-and-fire neural networks. In: Hanson S.J., Cowan J.D., and Giles C.L. (Eds). Advances in neural information processing systems (1993), Morgan-Kaufmann, San Mateo, CA 1001-1006
43. Montague P.R., and Sejnowski T.J. The predictive brain: temporal coincidence and temporal order in synpatic learning mechanisms Learn. Memory 1 (1994) 1-33
44. Mozer M. Neural net architectures for temporal sequence processing. In: Weigend A., and Gershenfeld N. (Eds). Predicting the future and understanding the past (1993), Addison-Welsey, Redwood City, CA
45. Niki H., and Watenabe M. Prefrontal and cingulate unit activity during timing behavior in the monkey. Brain. Res. 171 (1979) 213-224
46. Pearlmutter B.A. Learning state space trajectories in recurrent neural networks. Neural. Comp. 1 (1989) 263-269
47. Pearson J.C., Finkel L.H., and Edelman G.M. Plasticity in the organisation of adult cerebral cortical maps: A computer simulation based on neuronal group selection. J. Neurosci. 7 (1987) 4209-4223
48. Perkel D.M. A digital computer model of nerve cell functioning. Tech. Rep. RM-4132-NIH, Rand Corp., CA (1964)
49. Pineda F. Generalisation of backpropagation to recurrent neural networks. Physical. Rev. Lett. 19 (1987) 2229-2232
50. Rumelhart D.E., and McClelland J.L. Parallel distributed processing (1986), M.I.T. Press, Cambridge, MA
51. Schmidhuber J. Learning to control fast-weight memories: An alternative to dynamic recurrent networks. Neural. Comp. 4 (1992) 131-139
52. Selverston A.I. Modeling of neural circuits: What have we learned?. Ann. Rev. Neurosci. 16 (1993) 531-546
53. Sompolinsky H., and Kanter I. Temporal association in asymmetric neural networks. Physica. Rev. Lett. 57 (1986) 2861-2864
54. Tank D.W., and Hopfield J.J. Neural computation by concentrating information in time. Proc. Nat. Acad. Sci. USA 84 (1987) 1896-1900
55. Torras C. Pacemaker neuron model with plastic firing rate: Entrainment and learning ranges. Biol Cybern. 52 (1985) 79-91
56. Torras C. Neural network model with rhythm-assimilation capacity. IEEE Trans Syst Man Cybernet 16 (1986) 680-693
57. In: Touretzky D.S., Moody J.E., Hanson S.J., Lippmann R.P., Cowan J.D., CL G., Tesauro G., and Alspector J. (Eds). Advances in neural information processing systems (1989-95), Morgan-Kaufmann, San Mateo, CA
58. Vaadia E., Haalman I., Abeles M., Bergman H., Prut Y., Slovin H., and Aertsen A. Dynamics of neuronal interactions in monkey cortex in relation to behavioural events. Nature 373 (1995) 515-518
59. Wright J.J., Sergejew A.A., and Liley D.T.J. Computer simulation of electrocortical activity at millimetric scale. Electroenceph. Clin. Neurophysiol. 90 (1994) 365-375